2020
End-to-end Contextual Perception and Prediction with Interaction Transformer
IROS 2020poster
In this paper, we tackle the problem of detecting objects in 3D and forecasting their future motion in the context of self-driving. Towards this goal, we design a novel approach that explicitly takes into account the interactions between actors. To capture their spatial-temporal dependencies, we pro…